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A short class with Sarah and her students. The other ways are under More.
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Today, we'll start by discussing how to host a static website using Amazon S3. Does anyone know what S3 stands for?
I think it stands for Simple Storage Service.
That's right! S3 is a storage service optimized for affordability and scalability. Now, could anyone list the steps involved in hosting a static website?
You need to prepare your website files first, like creating an index.html.
Excellent! After that, we must create a unique bucket in the S3 Dashboard. Can anyone tell me why the bucket name must be globally unique?
So that there are no conflicts with other S3 users?
Correct! Once the bucket is created, we’ve got to upload our files and enable static website hosting. Remember, we also have to set a Bucket Policy to allow public access. Can anyone repeat the JSON structure for the policy?
It allows public read access for all objects in the bucket.
Very good! Finally, we access our website using the S3 endpoint. To sum up, we learned how to prepare website files, create an S3 bucket, upload files, enable hosting, set permissions, and access the endpoint.
Next, we will discuss how to deploy a web application using EC2 and RDS. Who can explain what EC2 is?
EC2 stands for Elastic Compute Cloud, which provides scalable virtual servers.
Exactly! Now, can anyone summarize the first few steps we take when setting up an RDS instance?
You choose MySQL as the database engine and make sure it's publicly accessible for testing.
Well done! And what about launching an EC2 instance?
You select Amazon Linux 2 and configure security groups to open specific ports.
Exactly! You'll then SSH into your EC2 instance and deploy your web application code. Don't forget the database connection! After testing, why do you think this hands-on experience is vital?
It helps us understand how to link our server and database together to create a functional application.
Precisely! Connecting these components is essential for full-stack development. Hence, we see the critical interplay of these AWS services.
Now, let's look at serverless architecture using AWS Lambda. Does anyone know what serverless means?
It means we don't manage the server; AWS handles it for us.
Great! Can someone outline how we will store form input using DynamoDB in this project?
We create a DynamoDB table called FormSubmissions with an id as the primary key.
Exactly! After that, we create a Lambda function. What programming languages can we choose for writing our Lambda function?
We can use Node.js or Python.
Yes! And, it's essential to attach the correct IAM role for permissions. Let's review how to write the Lambda function code. Does anyone want to explain the flow?
We load the incoming data, save it in DynamoDB, and return a success response.
Exactly! This allows us to process input forms dynamically without needing servers!
Utilizing S3 to host complete HTML/CSS/JS sites.
Utilizing EC2 and RDS services for deploying dynamic applications.
Implementing AWS Lambda for functions without server management.
Automating deployment processes from code changes to live deployment.
Hosting a simple portfolio website with HTML and CSS on an S3 bucket.
Deploying a PHP web application connected to a MySQL database via RDS on an EC2 instance.
Creating an AWS Lambda function to handle form submissions and store data in DynamoDB.
Setting up a CI/CD pipeline that deploys changes from a GitHub repository to an S3 bucket.
S3, it's easy as can be, host a site and let it be, just upload and set it free!
Imagine a wizard who can host many magical elements (websites) in a cloud tower (S3) that anyone can visit with a special key (public access).
Remember 'DPLS' for CI/CD: Deploy, Push, Launch, Scale.
AWS = Any Web Service.
Term
What is EC2?
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What is the purpose of AWS Lambda?
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What does a CI/CD pipeline automate?
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Define DynamoDB.
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Amazon Web Services, a cloud computing platform providing a range of services.
Amazon Simple Storage Service, a scalable storage service used for storing and retrieving data.
Amazon Elastic Compute Cloud, a service that provides resizable computing capacity in the cloud.
Amazon Relational Database Service, a managed relational database service.
A fully managed NoSQL database service provided by AWS.
A cloud-computing model where the cloud provider dynamically manages the allocation of resources.
Continuous Integration and Continuous Deployment, practices that enable frequent updates to applications.
This section outlines the aim of applying theoretical knowledge to practical AWS projects.
The objective of this section is to bridge the gap between theory and practice by engaging in hands-on AWS projects, including hosting websites, deploying applications, implementing serverless functions, and setting up CI/CD pipelines, thereby building confidence in using AWS services.
The objective of this section is to provide learners with the opportunity to apply theoretical concepts learned from previous chapters to practical, hands-on AWS (Amazon Web Services) projects. These projects are curated to help you build confidence in utilizing AWS services as you tackle real-world problems and deploy functional applications and infrastructure.
By engaging in these projects, learners will gain valuable experience that serves as the foundation for managing scalable and maintainable applications on AWS. Starting with simple tasks such as hosting static websites, learners can progressively advance to more complex challenges like deploying web applications, implementing serverless architectures with AWS Lambda, and establishing CI/CD (Continuous Integration/Continuous Deployment) pipelines.
Each project is designed to solidify your understanding of key AWS services, giving you practical skills to address common challenges faced in cloud environments. By the end of these projects, you should feel empowered to confidently deploy and manage applications in the cloud.